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Unit of study_
ENGG2851: Project Analytics
2023 unit information
Project data analysis is required to inform decision making. This becomes increasingly significant as project becomes larger and more complex. This subject introduces students to a variety of fundamental analytical techniques used in project management including consideration of their assumptions, limitations, how and when they should be applied.
Unit details and rules
Managing faculty or University school:
Engineering
| Study level | Undergraduate |
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| Academic unit | Project Management |
| Credit points | 6 |
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Prerequisites:
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ENGG1860 OR {ENGG1850 AND [(MATH1021 OR MATH1002 OR MATH1023 OR MATH1005) OR (MATH1011 OR MATH1013 OR MATH1014 OR MATH1015)]} |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Explain the purpose of measurement in different project contexts (hard/soft, large/small, complex/not, different domains, etc.)
- LO2. Explain the uses and limitations of measurement in different project contexts
- LO3. Explore a range of analytical tools and techniques for monitoring and control that are appropriate to different project contexts
- LO4. Select and apply analytic tools and techniques to analyse situations, financial and organisational data, and trends
- LO5. Apply analytical tools and techniques to specific project contexts
- LO6. Monitor progress and make any necessary adjustments to parameters
- LO7. Review and evaluate project performance at handover
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